Deltia.ai funding news – Germany-based Deltia.ai secures $4.8Million in Seed Funding.

Cavalry Ventures led the financing, with Merantix participating. The money will be used by the business to grow both its operations and growth initiatives.

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With the use of an AI-based process analytics platform, Delta.ai, led by CEO Max Fischer and CTO Silviu Homoceanu, can improve the efficiency and calibre of manual shop floor procedures. To find areas for improvement, computer vision is used to capture processes, which are then automatically evaluated by a highly adaptable AI.

Claude Ritter, Managing Partner at Cavalry Ventures and one of the early investors in European AI pioneer Aleph Alpha said, “Human expertise remains unparalleled, and AI serves as a valuable assistant—supporting and improving the workforce. Together, human capabilities and AI innovation pave the way for a future where this collaboration propels productivity and excellence to new heights,".

The computer vision system from Deltia converts manual industrial processes into digital formats, such as assembly, packing, and machinery adjustments. Our special algorithm looks at things like hand motions and cycle durations and suggests ways to improve by pointing out inefficiencies.

Together with Nico Peters and Willi Tscheschner (both Signavio founders), Max Viessmann (CEO of the Viessmann Group), Walter Kortschak (Firestreak Ventures), Christian Dahlen, Edward Grefenstette (Google DeepMind), Robin Capital, Combination Ventures, Better Angle, and Marc Städing are among the A-Team of industry experts who have invested with us.

Rasmus Rothe, co-founder of Merantix said, “The customers that Deltia.ai work with are the backbone of European industry and are faced with huge transformational challenges. Thanks to its deep technical expertise and domain knowledge, Deltia.ai is set up to be the leader in this much-needed industrial revolution,”.

About Deltia.ai

Deltia.ai, Process analytics platform powered by AI to boost output and quality in manual shop floor operations. Computer vision is used to capture processes, and a highly adaptable AI is used to automatically assess the data and find possible areas for improvement.